5 Real-life examples of Intelligent Document Processing and why it is the key to Accuracy

Here are 5 Real-life examples of Intelligent Document Processing (IDP) and know why it is the key to Accuracy.

Around 80% of the data across an organization is in an unstructured format which makes it difficult for the employees to manually capture the data from different formats. Documents are received in different forms such as emails,

PDFs, image files, scanned documents, etc. which is sometimes non-readable, hence causes errors in data.

Some companies have adopted technologies like OCR to overcome such challenges, but even OCR has its limitations. An OCR tool is unable to read the unstructured documents or identify or read through from different languages. Intelligent Document Processing (IDP) is beyond OCR as IDP solutions have a blend of Artificial Intelligence (AI) which helps it in reading all kinds of documents while maintaining accuracy.

Intelligent Document processing solutions classify the data from the documents and automatically fills the data into the required format. It also extracts the relevant data required for further processing. With AI, IDP solution overcomes the challenges of OCR such as deskewing images, character repair, and speckled images with text.